Alexander Smolyanskiy

My name is Alexander Smolyanskiy. I am a second-year Computer Science and Applied Mathematics major at the University of California, Santa Cruz.

I am currently working as an undergraduate researcher at the AIEA Lab, where I am working on LiDAR point cloud object detection models as well as synthetic LiDAR data generation.

My interests include artificial intelligence, mathematics, embodied AI, cooking, and basketball. Here you will find a collection of my projects. These include my work with LiDAR object detection, robotic teleoperation, an autonomous RC car, neural networks, and many more!

LiDAR Object Detection

This is a Python framework I programed for the AIEA Lab that allows you to train, test, and evaluate 3D LiDAR object detection models on custom datasets.

GitHub: CenterPoint_Nautlis

August 2026

Teleoperation of Manipulator

This is a teleoperation system I made for a robotic manipulator. It tracks your hand using a stereo camera. Then passes that to an inverse kinematics system I made which uses optimization via PyTorch.

GitHub: Manipulator_Teleoperation

October 2025

Autonomous Car

This is an autonomous RC car I made that can drive completely by itself around a track made of cones. It uses a convolutional neural network, which I created and trained, to detect the cones and PID controllers to control the steering angle and speed to drive between the cones.

GitHub: Autonomous_RC_Car

April 2024

CNN for Face Detection

This is a convolutional neural network which I created. It can accurately detect faces in a video stream. I trained this network using the "Wider Faces" dataset.

GitHub: Face_Detector_Net

January 2023

Einstein Tile Generation

I made this project while interning at Google Research. It is the first ever python implementation of an Einstein Tile pattern generator. This tiling was discovered in 2022 and provides infinite aperiodic patterns.

GitHub: Einstein_Tile_Generator

June 2024

3D Engine from Scratch

This is a 3D Engine I made completely from scratch. It has features like accurate lighting, normal smoothing, support for complex models, and textures.

GitHub: 3D_Engine

June 2023

CNN for People Detection

This is a convolutional deep neural network I created. It can detect people in a video stream. I used this network for a school project in which I tracked the number of people in a classroom for 48 hours.

GitHub: Person_Detection

May 2023

Racing AI

This is a neural network I created. It can drive a car around a racing track. I used two different methods of training: imitation learning and reinforcement learning in this project.

GitHub:

Racing_AI_Imitation_Learning

Racing_AI_Reinforcement_Learning

November 2023

Pandemic Spread Modelling

This is a school project in which I researched how pandemics spread. I used a mathematical model to graph the predicted number of cases. I also created a program that simulates how a pandemic spreads in a community

October 2020

Game Console Using Arduino

This is a gaming device that I created from scratch. It uses an Arduino as its computer. It processes input from the buttons, computes results and outputs them on the attached screen. I also programed Tetris game for this gaming device. It can be seen in the video.

GitHub: Game_Console_With_Arduino

June 2022

RC Car Using Lego Mindstorm

This is an RC car I created using Lego Mindstorm. It has realistic features like suspension, steering and a realistic gearbox. It can be remotely controlled. I programmed its control system.